Engine Load Model Systems and Methods

3. The system of claim 2, wherein the one or more engine load models include at least one of an electrical load model, a hydraulic load model, or a pneumatic load model.

4. The system of claim 3, wherein the one or more engine load models provide information regarding how vehicle weight is to change, how much fuel is to be burned, and how environmental conditions are to impact engine operation for the flight.

5. The system of claim 4, wherein the engine model includes the one or more engine load models configured to predict load on the engine from the engine subsystem utilization to configure a flight management system to account for conditions encountered during the flight according to the engine model.

6. The system of claim 2, wherein the load information includes at least one from a group including flight information, weather information, passenger information, cargo information, and historical information.

7. The system of claim 1, wherein the one or more engine load models include at least one of flight information or weather information stored in a hierarchy data structure.

8. The system of claim 7, wherein the one or more engine load models further include composite values stored in the hierarchy data structure, the composite values generated from a combination of the flight information and the weather information.

11. The non-transitory computer-readable storage medium of claim 10, wherein the one or more engine load models include at least one of an electrical load model, a hydraulic load model, or a pneumatic load model.

12. The non-transitory computer-readable storage medium of claim 11, wherein the one or more engine load models provide information regarding how vehicle weight is to change, how much fuel is to be burned, and how environmental conditions are to impact engine operation for the flight.

13. The non-transitory computer-readable storage medium of claim 12, wherein the engine model including the one or more engine load models configured to predict load on the engine from the engine subsystem utilization to configure a flight management system to account for conditions encountered during the flight according to the engine model.

14. The non-transitory computer-readable storage medium of claim 10, wherein the load information includes at least one from a group including flight information, weather information, passenger information, cargo information, and historical information.

15. The non-transitory computer-readable storage medium of claim 9, wherein the one or more engine load models include flight information and weather information stored in a hierarchy data structure.

16. The non-transitory computer-readable storage medium of claim 15, wherein the one or more engine load models further include composite values stored in the hierarchy data structure, the composite values generated from a combination of the flight information and weather information.

19. The method of claim 18, wherein the one or more engine load models provide information regarding how vehicle weight is to change, how much fuel is to be burned, and how environmental conditions are to impact engine operation for the flight.

20. The method of claim 19, further comprising providing the engine model including the one or more engine load models to predict load on the engine from the engine subsystem utilization to configure a flight management system to account for conditions encountered during the flight according to the engine model.

21. The method of claim 18, wherein the load information includes at least one from a group including flight information, weather information, passenger information, cargo information, and historical information.

22. The method of claim 17, wherein the one or more engine load models include flight information and weather information stored in a hierarchy data structure as modeled values.

23. The method of claim 22, wherein the one or more engine load models further include composite modeled values stored in the hierarchy data structure, the composite modeled values generated from a combination of the flight information and weather information.